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A study on the user perception in fashion design through social media text-mining

Title
A study on the user perception in fashion design through social media text-mining
Authors
An H.Park M.
Ewha Authors
박민정
SCOPUS Author ID
박민정scopus
Issue Date
2017
Journal Title
Journal of the Korean Society of Clothing and Textiles
ISSN
1225-1151JCR Link
Citation
Journal of the Korean Society of Clothing and Textiles vol. 41, no. 6, pp. 1060 - 1070
Keywords
Contents analysisFashion designSocial mediaText miningTopic modeling
Publisher
Korean Society of Clothing and Textiles
Indexed
SCOPUS; KCI scopus
Document Type
Article
Abstract
This study seeks methods to analyze users' perception in fashion designs shown in social media using textmining analysis methods. The research methods selected 'men's stripe shirts' as subjects and collected texts related to the subject mainly from blogs. Texts from 13,648 posts from November 1st, 2015 to October 31st, 2016 were analyzed by applying the LDA algorithm and content analysis. As a result, the wearing status per season and subjects of men's stripe shirts were derived. Across the entire period, the main topics discussed by users to be pattern, customized suits, brands, coordination and purchase information. In terms of seasons, spring time showed the sharing of information on coordinating daily looks or boyfriend looks, and during the winter season the information shared were about shirts suitable for special occasions such as job interviews and stripe shirts that match suits. The study results showed that text-mining analysis is capable of analyzing the context and provide a user-centered index responding to demands newly mentioned by users along with the rapid changes in fashion design trends. © 2017, The Korean Society of Clothing and Textiles.
DOI
10.5850/JKSCT.2017.41.6.1060
Appears in Collections:
신산업융합대학 > 의류산업학과 > Journal papers
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